Overview
- Enriches understanding of very large databases, data management, and database systems
- Updates readers through new and revised entries
- Treats both theoretical and practical aspects of database systems
- Provides for researchers, professors, graduate and undergraduate students, and industry professionals
- Sets the standard as a definitive reference work, edited and reviewed by leading experts
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About this book
This revised and expanded edition of Encyclopedia of Database Systems provides easy access to crucial concepts relevant to all aspects of very large databases, data management, and database systems, including areas of current interest and research results of historical significance. This comprehensive reference is organized alphabetically and each entry presents basic terminology, concepts, methods and algorithms, key results to date, references to the literature, and cross-references to other entries. Topics for the encyclopedia—including areas of current interest as well as research results of historical significance—were selected by a distinguished international advisory board and written by world-class experts in the field. New entries that reflect recent developments and technological advances in very large databases include: big data, big data technology, cloud computing, cloud data centers, business analytics, social networks, ranking, trust management, query over encrypted data, and more. Entirely new entries include database systems, relational database systems, databases, multimedia databases, bioinformatics, workflow systems, and web data management.
Encyclopedia of Database Systems, 2nd edition, is designed to meet the needs of researchers, professors, graduate and undergraduate students in computer science and engineering. Industry professionals, from database specialists to software developers, will also benefit from this valuable reference work.
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Keywords
Table of contents (1415 entries)
Editors and Affiliations
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Bibliographic Information
Book Title: Encyclopedia of Database Systems
Editors: Ling Liu, M. Tamer Özsu
DOI: https://doi.org/10.1007/978-1-4899-7993-3
Publisher: Springer New York, NY
eBook Packages: Springer Reference Computer Sciences, Reference Module Computer Science and Engineering
eBook ISBN: 978-1-4899-7993-3Due: 24 March 2021
Number of Illustrations: 100 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Computer Communication Networks, Information Storage and Retrieval, Data Storage Representation, Computer Imaging, Vision, Pattern Recognition and Graphics